How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Job Summary
The Department of Surgery at the University of Michigan is committed to creating a positive, substantive impact on human health, through collaboration among clinicians, scientists, medical and business professionals to achieve innovative science and meaningful discovery.
The individual in this position will work under the direction of Dr. Ryan Howard. Dr. Howard is a minimally invasive surgeon and health services researcher at Michigan Medicine. His research focuses on studying the quality and safety of surgical care. To do this, he uses large healthcare datasets to analyze trends in care delivery, the costs of care, and patient outcomes. Some of his specific areas of interest include long-term patient outcomes after hernia and bariatric surgery, the comparative effectiveness of medical and surgical treatment of obesity, and postoperative opioid prescribing.
The statistician in this position will be integral to executing research projects by performing organization and maintenance of large administrative datasets, statistical programming (i.e., coding), data analysis, and summarization and interpretation of the results. The individual in this position will also help determine the appropriate analytic methodologies for specific projects. In this role, this individual will support and work alongside Dr. Howard, his research collaborators, and various trainees working on these research projects.
The statistician in this position should be comfortable cleaning large datasets and creating cohort files. This position requires management of very large data sets including Medicare, Medicaid, MarketScan, Truven, regional insurance claims, and patient registries.
Responsibilities*
The Statistician will work closely with the research team to:
- understand each research project and propose appropriate design and methodology;
- write, test, and implement analytic code using Stata, R, Python, or SAS to clean, manage, merge, and analyze data;
- develop statistical analyses for presentation and discussion with the principal investigator and others;
- contribute to study reports or manuscripts by preparing tables, graphs and other data displays
- create and maintain technical documentation;
- contribute to the development of methods to evaluate progress of data collection on new projects;
- participate as a team member in discussions on analysis and improvement of data collection, quality of data analyses, programming and documentation;
- other duties as assigned
Required Qualifications*
- Degrees in related field with strong computing and quantitative skills will be considered
- Bachelors degree in related field, masters degree strongly preferred
- 3-5 years experience using statistical analysis software (e.g. Stata, R, Python, SAS)
- Possesses and able to apply a broad knowledge of principles, practices, and procedures of health services research to the completion of difficult assignments
- Must be able to program, manage data, and conduct statistical analysis
Desired Qualifications*
- Masters degree in Statistics, biostatistics, Public Health, or related field
- Experience with coding in at least two of the following; Stata (preferred), Python, R, or SAS
- Experience performing multivariable and multilevel regression modeling (experience performing difference-in-differences and instrumental variables analysis is a plus)
- Experience supporting, managing, and analyzing major research projects using large administrative datasets such as Medicare, Medicaid, and commercial insurance is preferred
- Experience with database management and complex data structures and linkages between data sources including understanding medical procedure codes
- Excellent interpersonal and written communication skills
- Experience working with teams and collaborating
- Working knowledge of epidemiologic concepts and methodology
- Strong programming knowledge using a high-level programming language
- Ability to draft statistical tests in accordance with project designs and to solve analytic problems, including descriptive statistics, linear regression, logistic regression, survival analysis, mixed models with repeated measures, multi-level modeling
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
This position will offer a flexible work schedule by offering both in-person and remote opportunities. The administrative work is primarily work from home. However, the team strives to be in the office 1 day per week, which may need to be flexible due to study demands and faculty availability.
When onsite, there will be a dedicated office space among the research team at the North Campus Research Complex.
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.